code: def predict(self, x):
      h, w = x.shape[2:]
      self._up_kwargs["height"] = h
      self._up_kwargs["width"] = w
      _, c4 = self.base_forward(x)
      x = self.head.demo(c4)
      import mxnet.ndarray as F
  
      pred = F.contrib.BilinearResize2D(x, **self._up_kwargs)
      return pred
  
file_path: gluon-cv/gluoncv/model_zoo/danet.py
imports: from mxnet.gluon import nn
  from mxnet.context import cpu
  from mxnet.gluon.nn import HybridBlock
  from .segbase import SegBaseModel
  from .fcn import _FCNHead
  from .attention import PAM_Module, CAM_Module
label_desc: Use image node_id 3 for calling the DANetHead obj's underlying member method code with example usage: obj.predict(x) and returns: pred